Page 67 - 5500+ Deep Learning Online Courses for 2026 | Explore Free Courses & Certifications

Complete A.I. & Machine Learning, Data Science Bootcamp

Generative AI, from GANs to CLIP, with Python and Pytorch

Generative Models - Representation Learning Meets Generative Modeling - Lecture 15

Scaling Laws in Neural Architectures - Lecture 20

Representation Learning - Reconstruction-Based - Lecture 11

Generative Models - Conditional Models - Lecture 16

Approximation Theory - Lecture 3

Generalization Theory - Overparameterization, Double Descent, and Inductive Biases - Lecture 6

Generalization - Out-of-Distribution (OOD) - Lecture 17

Convolutional Neural Networks - Architectures for Grid Data - Lecture 4

Representation Learning: Similarity-Based - Lecture 12

Scaling Rules for Optimization - Lecture 7

Representation Learning - Theory - Lecture 13

CAP6412 - Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets

Deep Learning Courses and Certifications

12 Best Deep Learning Courses for 2026

Neural Networks and Deep Learning

Deep Learning

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Introduction to Deep Learning

NYU Deep Learning

Intro to Deep Learning with PyTorch

Practical Deep Learning For Coders

Introduction to Deep Learning & Neural Networks with Keras

IBM AI Engineering

Machine Learning with Python

All Deep Learning Courses

Machine Learning for Absolute Beginners - Level 1

Complete A.I. & Machine Learning, Data Science Bootcamp

Generative AI, from GANs to CLIP, with Python and Pytorch

Generative Models - Representation Learning Meets Generative Modeling - Lecture 15

Scaling Laws in Neural Architectures - Lecture 20

Representation Learning - Reconstruction-Based - Lecture 11

Generative Models - Conditional Models - Lecture 16

Approximation Theory - Lecture 3

Generalization Theory - Overparameterization, Double Descent, and Inductive Biases - Lecture 6

Generalization - Out-of-Distribution (OOD) - Lecture 17

Convolutional Neural Networks - Architectures for Grid Data - Lecture 4

Representation Learning: Similarity-Based - Lecture 12

Scaling Rules for Optimization - Lecture 7

Representation Learning - Theory - Lecture 13

CAP6412 - Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets

Deep Learning Courses and Certifications

12 Best Deep Learning Courses for 2026

Neural Networks and Deep Learning

Deep Learning

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Introduction to Deep Learning

NYU Deep Learning

Intro to Deep Learning with PyTorch

Practical Deep Learning For Coders

Introduction to Deep Learning & Neural Networks with Keras

IBM AI Engineering

Machine Learning with Python

All Deep Learning Courses

Machine Learning for Absolute Beginners - Level 1

Complete A.I. & Machine Learning, Data Science Bootcamp

Generative AI, from GANs to CLIP, with Python and Pytorch

Generative Models - Representation Learning Meets Generative Modeling - Lecture 15

Scaling Laws in Neural Architectures - Lecture 20

Representation Learning - Reconstruction-Based - Lecture 11

Generative Models - Conditional Models - Lecture 16

Approximation Theory - Lecture 3

Generalization Theory - Overparameterization, Double Descent, and Inductive Biases - Lecture 6

Generalization - Out-of-Distribution (OOD) - Lecture 17

Convolutional Neural Networks - Architectures for Grid Data - Lecture 4

Representation Learning: Similarity-Based - Lecture 12

Scaling Rules for Optimization - Lecture 7

Representation Learning - Theory - Lecture 13

CAP6412 - Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets